Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8376
Title: Objective quality selection for hybrid LoD models
Authors: JEHAES, Tom 
LAMOTTE, Wim 
Tack, Nicolaas
Issue Date: 2008
Publisher: INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION
Source: Braz, J & Nune, NJ & Pereira, JM (Ed.) GRAPP 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS. p. 241-248.
Abstract: The problem of rendering large virtual 3D environments at interactive framerates has traditionally been solved by using polygonal Level-of-Detail (LoD) techniques, for which either a series of discrete models or one progressive model were determined during preprocessing. At runtime, several metrics such as distance, projection size and scene importance are used to scale the objects to such a resolution that a target framerate is maintained in order to provide a satisfactory user experience. In recent years however, image-based techniques have received a lot of interest from the research community because of their ability to represent complex models in a compact way, thereby also decreasing the time needed for rendering. One of the questions however that should be given some more consideration is when to switch from polygonal rendering to image-based rendering. In this paper we explore this topic further and provide a solution using an objective image quality metric which tries which we use to optimize render quality. We test the presented solution on both desktop and mobile systems.
Notes: Hasselt Univ, Expertise Ctr Digital Media, Interdisciplinary Inst BroadBand Technol, Diepenbeek, B-3590 Belgium.
Keywords: progressive geometry, image-based rendering, Level-of-Detail, objective quality selection
Document URI: http://hdl.handle.net/1942/8376
Link to publication/dataset: http://www.grapp.org/Abstracts/2008/GRAPP_2008_Abstracts.htm
ISBN: 978-989-8111-20-3
ISI #: 000256582000033
Category: C1
Type: Proceedings Paper
Validations: ecoom 2009
Appears in Collections:Research publications

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